Michael Flor

1.1k total citations
49 papers, 686 citations indexed

About

Michael Flor is a scholar working on Artificial Intelligence, Developmental and Educational Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Michael Flor has authored 49 papers receiving a total of 686 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Artificial Intelligence, 14 papers in Developmental and Educational Psychology and 8 papers in Experimental and Cognitive Psychology. Recurrent topics in Michael Flor's work include Natural Language Processing Techniques (26 papers), Topic Modeling (22 papers) and Text Readability and Simplification (18 papers). Michael Flor is often cited by papers focused on Natural Language Processing Techniques (26 papers), Topic Modeling (22 papers) and Text Readability and Simplification (18 papers). Michael Flor collaborates with scholars based in United States, Israel and United Kingdom. Michael Flor's co-authors include Beata Beigman Klebanov, Kathleen M. Sheehan, Irene Kostin, Chee Wee Leong, Diane Napolitano, Jiangang Hao, Brian Riordan, Lei Liu, Michael Heilman and Ben Leong and has published in prestigious journals such as Educational Researcher, Journal of Computer Assisted Learning and The Elementary School Journal.

In The Last Decade

Michael Flor

47 papers receiving 625 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael Flor United States 17 527 198 177 90 63 49 686
María Luisa Carrió Pastor Spain 13 136 0.3× 105 0.5× 59 0.3× 121 1.3× 81 1.3× 90 610
Michaël Carl Denmark 20 822 1.6× 98 0.5× 123 0.7× 28 0.3× 68 1.1× 106 1.1k
Dustin Crowther United States 13 140 0.3× 269 1.4× 221 1.2× 113 1.3× 143 2.3× 28 725
Walcir Cardoso Canada 15 264 0.5× 252 1.3× 279 1.6× 122 1.4× 106 1.7× 55 764
Tetyana Sydorenko United States 13 124 0.2× 253 1.3× 106 0.6× 96 1.1× 70 1.1× 26 805
Matthew P. Wallace Macao 10 128 0.2× 167 0.8× 34 0.2× 134 1.5× 67 1.1× 25 476
Jozef Colpaert Belgium 12 107 0.2× 165 0.8× 39 0.2× 110 1.2× 87 1.4× 38 457
Ewa Golonka United States 8 136 0.3× 236 1.2× 47 0.3× 336 3.7× 261 4.1× 16 778
Gilbert Dizon Japan 13 229 0.4× 191 1.0× 25 0.1× 187 2.1× 153 2.4× 25 611
J. Elliott Casal United States 13 241 0.5× 280 1.4× 75 0.4× 148 1.6× 41 0.7× 25 713

Countries citing papers authored by Michael Flor

Since Specialization
Citations

This map shows the geographic impact of Michael Flor's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael Flor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Flor more than expected).

Fields of papers citing papers by Michael Flor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Flor. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael Flor. The network helps show where Michael Flor may publish in the future.

Co-authorship network of co-authors of Michael Flor

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Flor. A scholar is included among the top collaborators of Michael Flor based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael Flor. Michael Flor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Flor, Michael. (2025). Automatic Question Generation.
2.
Flor, Michael & Jessica Andrews‐Todd. (2022). Towards automatic annotation of collaborative problem‐solving skills in technology‐enhanced environments. Journal of Computer Assisted Learning. 38(5). 1434–1447. 11 indexed citations
3.
4.
Riordan, Brian, Michael Flor, & Robert Pugh. (2019). How to account for mispellings: Quantifying the benefit of character representations in neural content scoring models. 116–126. 11 indexed citations
5.
Flor, Michael & Swapna Somasundaran. (2019). Lexical concreteness in narrative. 75–80. 1 indexed citations
6.
Hao, Jiangang, Lei Liu, Patrick C. Kyllonen, Michael Flor, & Alina A. von Davier. (2019). Psychometric Considerations and a General Scoring Strategy for Assessments of Collaborative Problem Solving. ETS Research Report Series. 2019(1). 1–17. 16 indexed citations
7.
Flor, Michael & Brian Riordan. (2018). A Semantic Role-based Approach to Open-Domain Automatic Question Generation. 254–263. 17 indexed citations
8.
Hao, Jiangang, Lei Chen, Michael Flor, Lei Liu, & Alina A. von Davier. (2017). CPS-Rater: Automated Sequential Annotation for Conversations in Collaborative Problem-Solving Activities. Research Report. ETS RR-17-58.. ETS Research Report Series. 2 indexed citations
9.
Flor, Michael & Swapna Somasundaran. (2017). Sentiment Analysis and Lexical Cohesion for the Story Cloze Task. 62–67. 5 indexed citations
10.
Bejar, Isaac I., Paul Deane, Michael Flor, & Jing Chen. (2017). Evidence of the Generalization and Construct Representation Inferences for the GRE® revised General Test Sentence Equivalence Item Type. ETS Research Report Series. 2017(1). 1–25. 1 indexed citations
11.
Flor, Michael, et al.. (2015). Patterns of misspellings in L2 and L1 English: a view from the ETS Spelling Corpus. 6(0). 13 indexed citations
12.
Flor, Michael & Beata Beigman Klebanov. (2014). ETS Lexical Associations System for the COGALEX-4 Shared Task. 35–45. 1 indexed citations
13.
Klebanov, Beata Beigman, Ben Leong, Michael Heilman, & Michael Flor. (2014). Different Texts, Same Metaphors: Unigrams and Beyond. 11–17. 41 indexed citations
14.
Klebanov, Beata Beigman & Michael Flor. (2013). Word Association Profiles and their Use for Automated Scoring of Essays. Meeting of the Association for Computational Linguistics. 1148–1158. 21 indexed citations
15.
Klebanov, Beata Beigman & Michael Flor. (2013). Associative Texture Is Lost In Translation. Meeting of the Association for Computational Linguistics. 27–32. 8 indexed citations
16.
Klebanov, Beata Beigman & Michael Flor. (2013). Argumentation-Relevant Metaphors in Test-Taker Essays. 11–20. 18 indexed citations
17.
Flor, Michael. (2012). Four types of context for automatic spelling correction.. 53. 61–99. 29 indexed citations
18.
Flor, Michael, et al.. (2012). On using context for automatic correction of non-word misspellings in student essays. North American Chapter of the Association for Computational Linguistics. 105–115. 22 indexed citations
19.
Flor, Michael. (2012). A fast and flexible architecture for very large word n-gram datasets. Natural Language Engineering. 19(1). 61–93. 10 indexed citations
20.
Sheehan, Kathleen M., et al.. (2010). Generating Automated Text Complexity Classifications That Are Aligned with Targeted Text Complexity Standards. Research Report. ETS RR-10-28.. 14 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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